Mergers and Acquisitions in the U.S. Banking Industry
Mergers and Acquisitions in the U.S. Banking Industry

Author: Gabriel A. Hawawini

Publisher: North Holland

Published: 1990

Total Pages: 252

ISBN-13:

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Presented in this book is a comprehensive empirical analysis of mergers and acquisitions in the U.S. banking industry. The purpose of the study is to examine the merger phenomenon in the banking industry by answering the following questions: - What are the incentives for banks to merge? - Has the prohibition of interstate banking prevented banks from diversifying and has it increased the rate of bank failures by restricting (geographical) diversification opportunities? - Are bank mergers wealth-creating activities and how are the gains/losses from a merger distributed between the acquiring and acquired bank shareholders? - How can the changes in shareholder wealth resulting from bank mergers be explained and are there differences between interstate and intrastate mergers? - What are the implications of the study's findings for regulatory policy? Theory and practical implications are blended in this book which should appeal to both academics and practitioners in the field

Econometric Analysis of Cross Section and Panel Data, second edition
Econometric Analysis of Cross Section and Panel Data, second edition

Author: Jeffrey M. Wooldridge

Publisher: MIT Press

Published: 2010-10-01

Total Pages: 1095

ISBN-13: 0262232588

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The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

Mathematics for Econometrics
Mathematics for Econometrics

Author: P.J. Dhrymes

Publisher: Springer Science & Business Media

Published: 2013-04-18

Total Pages: 142

ISBN-13: 1475716915

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This booklet was begun as an appendix to Introductory Econometrics. As it progressed, requirements of consistency and completeness of coverage seemed to make it inordinately long to serve merely as an appendix, and thus it appears as a work in its own right. Its purpose is not to give rigorous instruction in mathematics. Rather it aims at filling the gaps in the typical student's mathematical training, to the extent relevant for the study of econometrics. Thus, it contains a collection of mathematical results employed at various stages of Introductory Econometrics. More generally, however, it would be a useful adjunct and reference to students of econometrics, no matter what text is being employed. In the vast majority of cases, proofs are provided and there is a modicum of verbal discussion of certain mathematical results, the objective being to reinforce the reader's understanding of the formalities. In certain instances, however, when proofs are too cumbersome, or complex, or when they are too obvious, they are omitted.

Econometrics
Econometrics

Author: Badi Hani Baltagi

Publisher: Springer Science & Business Media

Published: 2002

Total Pages: 426

ISBN-13: 9783540435013

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As well as specification testing, Gauss-Newton regressions and regression diagnostics. In addition, the book features a set of empirical illustrations that demonstrate some of the basic results. The empirical exercises are solved using several econometric software packages.

Introductory Econometrics: A Modern Approach
Introductory Econometrics: A Modern Approach

Author: Jeffrey M. Wooldridge

Publisher: Cengage Learning

Published: 2013-06-25

Total Pages: 912

ISBN-13: 9781111531041

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Introduce your students to how empirical researchers actually think about and apply econometric methods with the practical, professional approach in Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 5E. Unlike traditional texts, this book's unique presentation demonstrates how econometrics can be used to empirically study and answer questions across a variety of disciplines. A reflection of how econometric instruction has evolved, INTRODUCTORY ECONOMETRICS is organized around the type of data being analyzed with a systematic approach, where assumptions are introduced only as they are needed to obtain a certain result. This approach simplifies the exposition and makes the text's material easier for students to comprehend. Packed with timely, relevant applications the text emphasizes examples that have implications for policy or provide evidence for or against economic theories. More than 100 intriguing data sets are now available in six formats for your teaching flexibility. A wealth of new and revised instructor resources, written by the author, is provided at no cost to the instructor. The Instructor's Manual with Solutions contains answers to all problems and exercises, teaching tips on how to present the material in each chapter and also sources for each of the data files, with many suggestions on how to use them on problem sets, exams, and term papers. For the first time ever, a new Test Bank has been created to aid instructors as they teach the course. PowerPoint slides and Scientific Word slides are also new to this edition. The updated Data Set Handbook is also available to help instructors present the latest emerging developments in the field. Give your students a full understanding of how econometrics is genuinely useful for answering questions in business, policy evaluation, and forecasting environments with INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 5E. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

The Basics of Financial Econometrics
The Basics of Financial Econometrics

Author: Frank J. Fabozzi

Publisher: John Wiley & Sons

Published: 2014-03-04

Total Pages: 433

ISBN-13: 1118727231

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An accessible guide to the growing field of financial econometrics As finance and financial products have become more complex, financial econometrics has emerged as a fast-growing field and necessary foundation for anyone involved in quantitative finance. The techniques of financial econometrics facilitate the development and management of new financial instruments by providing models for pricing and risk assessment. In short, financial econometrics is an indispensable component to modern finance. The Basics of Financial Econometrics covers the commonly used techniques in the field without using unnecessary mathematical/statistical analysis. It focuses on foundational ideas and how they are applied. Topics covered include: regression models, factor analysis, volatility estimations, and time series techniques. Covers the basics of financial econometrics—an important topic in quantitative finance Contains several chapters on topics typically not covered even in basic books on econometrics such as model selection, model risk, and mitigating model risk Geared towards both practitioners and finance students who need to understand this dynamic discipline, but may not have advanced mathematical training, this book is a valuable resource on a topic of growing importance.

A Guide to Econometrics
A Guide to Econometrics

Author: Peter Kennedy

Publisher: John Wiley & Sons

Published: 2008-02-19

Total Pages: 608

ISBN-13: 1405182571

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Dieses etwas andere Lehrbuch bietet keine vorgefertigten Rezepte und Problemlösungen, sondern eine kritische Diskussion ökonometrischer Modelle und Methoden: voller überraschender Fragen, skeptisch, humorvoll und anwendungsorientiert. Sein Erfolg gibt ihm Recht.

Intermediate Statistics and Econometrics
Intermediate Statistics and Econometrics

Author: Dale J. Poirier

Publisher: MIT Press

Published: 1995

Total Pages: 744

ISBN-13: 9780262161497

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The standard introductory texts to mathematical statistics leave the Bayesian approach to be taught later in advanced topics courses-giving students the impression that Bayesian statistics provide but a few techniques appropriate in only special circumstances. Nothing could be further from the truth, argues Dale Poirier, who has developed a course for teaching comparatively both the classical and the Bayesian approaches to econometrics. Poirier's text provides a thoroughly modern, self-contained, comprehensive, and accessible treatment of the probability and statistical foundations of econometrics with special emphasis on the linear regression model. Written primarily for advanced undergraduate and graduate students who are pursuing research careers in economics, Intermediate Statistics and Econometrics offers a broad perspective, bringing together a great deal of diverse material. Its comparative approach, emphasis on regression and prediction, and numerous exercises and references provide a solid foundation for subsequent courses in econometrics and will prove a valuable resource to many nonspecialists who want to update their quantitative skills. The introduction closes with an example of a real-world data set-the Challengerspace shuttle disaster-that motivates much of the text's theoretical discussion. The ten chapters that follow cover basic concepts, special distributions, distributions of functions of random variables, sampling theory, estimation, hypothesis testing, prediction, and the linear regression model. Appendixes contain a review of matrix algebra, computation, and statistical tables.